Detecting market manipulation with dual-branch self-supervised learning: A unified framework integrating frequency-informed anomaly synthesis and domain-specific features.
Yongsheng Dai|Barry Quinn|Fearghal Kearney|Weilong Liu|Ivor T. A. Spence|Karen Rafferty|Hui Wang
| Anthology ID: | DBLP:journals/ipm/DaiQKLSRW26 |
|---|---|
| Year: | 2026 |
| Venue: | Information Processing and Management |
| Pages: | 104961 |
| URL: | https://doi.org/10.1016/J.IPM.2026.104961 |
| DOI: | https://doi.org/10.1016/J.IPM.2026.104961 |
| DBLP: | journals/ipm/DaiQKLSRW26 |
| BibTeX: |
@article{dai-2026-detecting,
author = {Yongsheng Dai and
Barry Quinn and
Fearghal Kearney and
Weilong Liu and
Ivor T. A. Spence and
Karen Rafferty and
Hui Wang},
title = {{Detecting market manipulation with dual-branch self-supervised learning: A unified framework integrating frequency-informed anomaly synthesis and domain-specific features}},
journal = {Information Processing and Management},
volume = {63},
number = {8},
pages = {104961},
year = {2026},
url = {https://doi.org/10.1016/J.IPM.2026.104961},
doi = {https://doi.org/10.1016/J.IPM.2026.104961}
}